Image segmentation using the student's t-test and the divergence of direction on spherical regions.
George D. StettenSamantha HorvathJohn M. GaleottiGaurav ShuklaBo WangBrian E. ChapmanPublished in: Medical Imaging: Image Processing (2010)
Keyphrases
- image segmentation
- segmented images
- region merging
- multiple choice
- figure ground
- multiscale
- segmenting images
- image segmentations
- learning environment
- graph cuts
- seeded region growing
- level set method
- region competition
- markov random field
- learning process
- normalized cut
- high school students
- boundary information
- image processing
- shape prior
- region growing
- intelligent tutoring systems
- deformable models
- student model
- arbitrary shape
- student learning
- region segmentation
- image segmentation algorithm
- watershed segmentation
- segmented regions
- region boundaries
- image segmentation methods
- pre segmented
- computer vision
- item bank
- post test
- undergraduate students
- fuzzy c means
- segmentation method
- active contours
- expectation maximization
- three dimensional